InFlightAI Computer Vision Model
Utility Pole Vegetation Encroachment
AI Model Overview
InFlightAI’s Utility Pole Vegetation Encroachment model uses computer vision AI to detect vegetation growing too close to utility poles and associated infrastructure. It identifies clearance violations that may pose safety risks or interfere with operations, supporting proactive vegetation management.
Vegetation position is measured relative to the pole and its attached hardware. Clearance distance is configured to your standards during onboarding.
Clearance violations are flagged before they become contact, fault or fire. Trim crews are directed to the spans that need work, which cuts cycle-based over-trimming.
How It Works
Utility Pole Vegetation Encroachment returns segmentation mask output. It identifies vegetation inside the clearance zone and growth contacting or approaching poles and hardware.
Utility Pole Vegetation Encroachment is an asset maintenance model, currently deployed across industries like Electric Utilities and Power Generation. Detections are returned after the flight has landed, once imagery and waypoint data have been synced to the platform. The model is configured to the assets and environments at your site during onboarding, and is ready for use within thirty days.